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Proceedings Paper

Quantitative Study Of Deconvolution And Display Mappings For Long-Tailed Point-Spread Functions
Author(s): J. P. Rolland; H. H. Barrett; G. W. Seeley
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Paper Abstract

An important goal in medical imaging is to increase the accuracy of visual detection of small abnormal regions. The presence of scatter in the image degrades spatial resolution by introducing long tails to the point-spread function. We show in this paper that linear deconvolution can be used to improve the performance of the human observer in the two-hypothesis detection task. Also, we investigate the effect that linear grey-scale mappings have on the human observer performance. We demonstrate that they help the human observer in the detection task and can be used sequentially with deconvolution to yield a better performance.

Paper Details

Date Published: 25 May 1989
PDF: 5 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953240
Show Author Affiliations
J. P. Rolland, University of Arizona (United States)
H. H. Barrett, University of Arizona (United States)
G. W. Seeley, University of Arizona (United States)


Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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